Downlink Channel Estimation in Massive Multiple-Input Multiple-Output with Correlated Sparsity by Overcomplete Dictionary and Bayesian Inference by Wei Lu, Yongliang Wang, Xiaoqiao Wen, Shixin Peng, Liang Zhong

“…Meanwhile the VBI was discussed for a complex value in our system model, and the structural sparsity was utilized in the Bayesian inference. The Bayesian Cramér−Rao bound for the channel estimation mean square error (MSE) was also given out. …”
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Airship Sparse Array Antenna Radar Real Aperture Imaging Based on Compressed Sensing and Sparsity in Transform Domain by Li Liechen, Li Daojing, Huang Pingping

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The fermionic greybody factor and quasinormal modes of hairy black holes, as well as Hawking radiation’s power spectrum and sparsity by Ahmad Al-Badawi, Sohan Kumar Jha, Anisur Rahaman

“…We then delve into investigating the Hawking spectra and sparsity of the radiation emitted by an HBH. Hairy parameters significantly affect the sparsity of Hawking radiation as well. …”
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A novel high-resolution imaging method based on sparsity in the time domain and spectral fitting in the frequency domain by Xin Guo, Jianhu Gao, Xueshan Yong, Shengjun Li, Jinyong Gui, Hongqiu Wang

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Sparsity Adaptive Compressive Sensing based Two-stage Channel Estimation Algorithm for Massive MIMO-OFDM Systems by L. J. Ge, Z. C. Wang, L. Qian, P. Wei

“…This paper proposes a two-stage channel estimation algorithm based on sparsity adaptive compressive sensing (CS) to address this issue. …”
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Sparsity-Based Two-Dimensional DOA Estimation for Co-Prime Planar Array via Enhanced Matrix Completion by Donghe Liu, Yongbo Zhao, Tingxiao Zhang

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Electromagnetic Micro-Structure Non-Destructive Testing: Sparsity-Constrained and Combined Convolutional Recurrent Neural Network Methods by Peipei Ran, Dominique Lesselier, Mohammed Serhir

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Iterative projection meets sparsity regularization: towards practical single-shot quantitative phase imaging with in-line holography by Yunhui Gao, Liangcai Cao

“…In this work, we present a unified compressive phase retrieval framework for in-line holography that encapsulates the unique advantages of both physical constraints and sparsity priors. In particular, a constrained complex total variation (CCTV) regularizer is introduced that explores the well-known absorption and support constraints together with sparsity in the gradient domain, enabling practical high-quality in-line holographic imaging from a single intensity image. …”
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A probabilistic fusion of a support vector machine and a joint sparsity model for hyperspectral imagery classification by Qishuo Gao, Samsung Lim

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Optimization of Secondary Sources Configuration in Two-Dimensional Space Based on Sound Field Decomposition and Sparsity-Inducing Regularization

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Denoising enabled channel estimation for underwater acoustic communications: A sparsity-aware model-driven learning approach by Sicong Liu, Younan Mou, Xianyao Wang, Danping Su, Ling Cheng

“…Moreover, we propose a Denoising Sparsity-Aware DNN (DeSA-DNN) based enhanced method that integrates a denoising CNN module in the sparsity-aware deep network, so that the degradation brought by intensive ambient noise could be eliminated and the estimation accuracy can be further improved. …”
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An On-Chip Fully Connected Neural Network Training Hardware Accelerator Based on Brain Float Point and Sparsity Awareness by Tsung-Han Tsai, Ding-Bang Lin

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Magnetic Resonance Image Denoising Based on Laplacian Prior Sparsity Constraint and Nonconvex Second-Order TV Penalty by Yumeng Ge, Wei Xue, Yun Xu, Jun Huang, Xiaolei Gu

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Filtering-Based Regularized Sparsity Variable Step-Size Matching Pursuit and Its Applications in Vehicle Health Monitoring by Haoqiang Liu, Hongbo Zhao, Wenquan Feng

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A combined higher order non-convex total variation with overlapping group sparsity for Poisson noise removal by Adam, Tarmizi, Paramesran, Raveendran, Ratnavelu, Kuru

Solution to Scalability and Sparsity Problems in Collaborative Filtering using K-Means Clustering and Weight Point Rank (WP-Rank) by Mohamad Fahmi Hafidz, Sri Lestari

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Enhanced RGB-Based Basis Pursuit Sparsity Averaging Using Variable Density Sampling for Compressive Sensing of Eye Images by Gandeva Bayu Satrya, I. Nyoman Apraz Ramatryana, Ledya Novamizanti, Soo Young Shin

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Customer behaviour analysis based on buying-data sparsity for multi-category products in pork industry: A hybrid approach by Arthit Apichottanakul, Masayuki Goto, Kullaprapruk Piewthongngam, Supachai Pathumnakul

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Array-Based Underwater Acoustic Target Classification with Spectrum Reconstruction Based on Joint Sparsity and Frequency Shift Invariant Feature by Chenxiang Lu, Xiangyang Zeng, Qiang Wang, Lu Wang, Anqi Jin

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Multi-Step Training Framework Using Sparsity Training for Efficient Utilization of Accumulated New Data in Convolutional Neural Networks by Jeong Jun Lee, Hyun Kim

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